Our team in Kraków, Poland, builds AI features that work in production, inside real web and mobile products and on the React, Next.js and Node.js stack we specialise in. Our work includes a compliance assistant that guides users through whistleblower reports, a game-character engine that retrieves world lore, and a character platform where every persona remembers past conversations.
Most AI projects that struggle have a working model and a weak product around it: slow responses, unreliable answers, unclear user flows or running costs nobody planned for. We concentrate on that product side and turn model capabilities into features your users can rely on.
We build AI into new products and add it to existing ones, using large language models (LLMs), retrieval-augmented generation (RAG) and the logic around them, on a Node.js back end and a React or Next.js front end. The same senior team designs and builds the whole product, AI included.
Assistants that help users finish real tasks, grounded in your product's data and rules. In Speeki's compliance platform, AI guides users through whistleblower reporting.
Answers based on your own content instead of the model's general knowledge. For Foregamer we built a custom RAG pipeline that lets game characters pull world lore into conversation, and integrated it into the live game BattleRise in 3 months.
Conversations that keep context between sessions. Immersey lets anyone create AI characters that think, remember and respond, with memory that persists across conversations.
Focused features that save users work, such as Mixmatch's AI drinks planner, which turns an event description into a shopping list.
If you built a product with AI coding tools and want to know it is safe to launch, our AI code audit reviews security, dependencies and scalability before real users arrive.
Use case
problem / users / success metric
Prototype
data / model / quick validation
Design
user flow / guardrails / fallbacks
Build
integration / evaluation / QA
Launch
monitoring / cost control
Improve
feedback / tuning / new features
Have an idea for an AI feature?
Tell us what it should do. We'll tell you how we'd build it.
Use case
Prototype
Design
Build
Launch
Improve
We start with the task the AI should help users with, how you will know it works, and what happens when it gets an answer wrong. A clear use case and a success metric keep the project focused and the budget under control.
Not sure where AI fits in your product?
Book a free 15-minute call. We'll help you find the use cases worth building.
AI built by product engineers
AI in how we build, too
We are a senior React, Next.js and Node.js team that puts AI into real products. The AI features we ship are fast, testable and maintainable, and the product around them is designed and built properly. We have shipped AI in compliance, gaming and consumer products.
Our engineers use AI tools such as Cursor, Copilot, Claude and custom agents across the development cycle. They help us ship faster, while senior engineers still make the decisions and review the code.
They’ve already trusted us.
The services DnD team has provided POSSIBLE have been of excellent quality of delivery - on time and budget. During the development process they are punctual and reliable, always focusing on meeting deadlines but with a particular eye on quality of service. DnD team has been always available and their communication was flawless. All in all, it's been a pleasure working with them, so I'm more than happy to recommend the services of DevandDeliver.
Andreas Nagy, Possible / Project Director
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AI software development company from Kraków, Poland
